Hello, Thanks for your suggestion, but it is does not help me much. Indeed, in this case where RTS="vrs", things are easy as you say. However, try for instance to change the technology assumption (e.g. replace it with RTS="drs" everywhere in my script) and you'll see that things are not that simple. I really need a way to extract the frontier -- it is plotted, so it is calculated and it has to be buried somewhere in the package, just I do not know where. Cheers Lorenzo
On Tue, Aug 02, 2016 at 09:05:15AM +0000, Jose Iparraguirre wrote:
Lorenzo, dea.plot plots the vectors x and y, which you already have: data.frame(x,y) x y 1 20 20 2 40 30 3 40 50 4 60 40 5 70 60 6 50 20 dea.plot.frontier plots the highest values of y for each value of x. Therefore, for x=20, the plot goes through y=20 but for X=40, where you have Y=30 and Y=50, the plot goes through the latter. Others in the list may give you an easier and better answer, but it's not difficult to plot all the X and Y in a scatterplot in ggplot and then to add a line along the highest values of Y per each X. I'm assuming you want an input orientation as in your example, of course. Hope it helps, Jos? Prof. Jos? Iparraguirre Chief Economist Age UK Age UK Tavis House, 1- 6 Tavistock Square London, WC1H 9NB T 020 303 31482 E Jose.Iparraguirre at ageuk.org.uk<mailto:Jose.Iparraguirre at ageuk.org.uk> Twitter @jose.iparraguirre at ageuk www.ageuk.org.uk<http://www.ageuk.org.uk/> | ageukblog.org.uk | @ageukcampaigns Interested in our Policy and Research publications? Sign up to our monthly bulletin at http://www.ageuk.org.uk/professional-resources-home/research/ For evidence and statistics on the older population, visit the Age UK Knowledge Hub http://www.ageuk.org.uk/professional-resources-home/knowledge-hub-evidence-statistics/ From: R-help [mailto:r-help-bounces at r-project.org] On Behalf Of Lorenzo Isella Sent: 02 August 2016 09:05 To: r-help at r-project.org Cc: ggplot2 at googlegroups.com Subject: [R] DEA -- Extract the Frontier and ggplot2 Dear All, Please consider the code at the end of the email. Everything is fine in this little example, just I do not know how to extract the DEA frontier (solid line in the plot). The reason is that I want to reproduce a more complicated DEA frontier plot using ggplot2 and I need to understand how I can extract the frontier data. Alternatively: can anyone reproduce the same plot with ggplot2? Many thanks Lorenzo ###########################################? library(Benchmarking) # load the Benchmarking library x <- matrix(c(20, 40, 40, 60, 70, 50),ncol=1) #define inputs y <- matrix(c(20, 30, 50, 40, 60, 20),ncol=1) #define outputs e_vrs <- dea(x,y, RTS="vrs", ORIENTATION="in")#solve LP problem eff_dea <- eff(e_vrs) #select efficiency scores from the results in e dd <- as.data.frame(cbind(x,y)) names(dd) <- c("Input", "Output") dd$Firm <- LETTERS[1:length(x)] dd$Input <- as.integer(dd$Input) dd$Output <- as.integer(dd$Output) pdf("dea-frontier-vrs.pdf") par( mar = c(4.5,5, 1, 1) + 0.1) dea.plot(x,y,RTS="vrs",ORIENTATION="in",txt=LETTERS[1:length(x)],lty="dashed", xlab="Input", ylab="Output", fex=2, cex=2,cex.lab=2,cex.axis=2) dea.plot.frontier(x,y, RTS="vrs", add=T) text(10,60, "VRS", cex=2) dev.off()
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